Tag: real-time systems

A new study reports three neural modules that cut computational cost by 26.7 percent while improving accuracy benchmarks for real-time ...

A new deep learning framework detects violent incidents in real surveillance footage with 90 percent accuracy while running fast enough ...

A systematic review of 45 studies finds digital twin research is booming but remains largely prototype-stage, lacking rigorous evaluation on ...

A new mathematical framework defines wavelet transforms that respect strict temporal causality, enabling real-time multi-scale signal analysis with provably self-similar, ...

A new lightweight deep learning model called BOA-LSTM combines Bayesian optimization and attention mechanisms to deliver faster and more accurate ...

Researchers have unveiled a Profit-Driven Simulation framework that tests AI toxicity detection models in realistic, revenue-sensitive social media environments and ...